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muhammadhassaan-solves/README.md

banner that says banner that says Muhammad Hassaan is a DevOps engineer with fusion of cybersecurity, and AI.

About Me:

I build systems that are fast, smart, and secure.

My work blends DevOps for speed, DevSecOps for security, and AIOps for intelligence. I love turning manual tasks into automated flows and using AI to make systems self-aware.

Let’s connect and build something powerful.

Always curious. Always improving.

Tech Stack

Python AWS Azure GitHub Git Ansible Bash Script Docker Kubernetes Terraform Prometheus Grafana Elasticsearch SonarQube Jenkins MLflow

Projects

  1. AI-powered Self-Healing Systems with Kubernetes
  2. CI/CD Pipeline Optimization with Jenkins & MLflow
  3. Secure Infrastructure as Code with Terraform and AWS
  4. Application Security Enhancement Using OWASP ZAP and AI
  5. Monitoring & Alerting with Prometheus, Grafana, and AI
  6. NLP-driven Automated Compliance Reporting with ELK Stack
  7. End to End CI/CD With Jenkins, GitHub, & SonarQube
  8. AWS AMI Creation with Packer and Ansible
  9. Setting Up Isolated AWS VPCs and Kubernetes Network Policies with Calico
  10. Configuring an Open-Source Linux Distribution for Machine Learning
  11. Security Incident and Event Management (SIEM) with ELK Stack
  12. Open Policy Agent (OPA) Integration with Jenkins for Compliance Checks
  13. Secure Kubernetes Operations with Role-Based Access Control
  14. AI-Driven Vulnerability Detection with OpenVAS and Tensorflow
  15. Designing Secure Serverless Functions with AWS Lambda
  16. Basic GAN Implementation with TensorFlow
  17. Containerizing and Deploying a Machine Learning Model on Kubernetes
  18. Installing and Configuring Apache Airflow for ML Workflows
  19. Implementing Zero Trust with SPIFFE/SPIRE for Securing ML Model Deployment
  20. Automated ML Pipeline with GitLab CI/CD
  21. Implementing and Training a Reinforcement Learning Agent using OpenAI Gym
  22. Implementing and Interpreting a Deep Learning Model for Fairness using SHAP
  23. Fine-Tuning a Transformer Model with Hugging Face Transformers Library
  24. Log Analysis Pipeline with ETL, RDS, and Serverless API Integration

Pinned Loading

  1. aws-ami-creation-with-packer-and-ansible aws-ami-creation-with-packer-and-ansible Public

  2. ci-cd-pipeline-optimization-using-jenkins-mlflow ci-cd-pipeline-optimization-using-jenkins-mlflow Public

    Python

  3. helm-based-kubernetes-app-deployment helm-based-kubernetes-app-deployment Public

  4. kubernetes-application-observability-and-health-checks kubernetes-application-observability-and-health-checks Public

  5. nlp-driven-automated-compliance-reporting-ELK nlp-driven-automated-compliance-reporting-ELK Public

    Python

  6. self-healing-system-with-kubernetes-and-ai self-healing-system-with-kubernetes-and-ai Public

    Python